Assess

Extract evaluation metrics and assess LiDAR data quality

Extract Metrics

Use TopoDOT® for quality assessment of LiDAR project data. As documented in C3D University's TechNote #1021, requirements on a LiDAR data set can be summarized by just 13 parameters. TopoDOT® offers a comprehensive tool suite designed to easily extract those metrics from the LiDAR data for comparison against requirements.

Evaluate Survey Control Alignment

Use TopoDOT® to automatically compare the orientation of the point cloud to survey coordinates, document the differences, and summarize the results in a spreadsheet report. Together, data alignment and survey control alignment establish a traceable lineage from the point cloud to survey control coordinates.

Evaluate Image Alignment

Use TopoDOT® to assess alignment of calibrated image to point cloud data. Well-calibrated images can be employed in TopoDOT® to enhance model extraction. Processing productivity is typically increased about 30%.

Evaluate Random Noise

Use TopoDOT® to evaluate random noise or "fuzziness" of point cloud data. Random noise level determines the minimum size of a feature identifiable within the point cloud.

Evaluate Point Density

Use TopoDOT® to automatically evaluate point density across project area. Point density is another factor in determining the minimum size of a feature identifiable in the point cloud.